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predominantly contribute to two streams of work: Living lab interventions and persuasion studies: Lead the co-design of technology-based interventions with living labs, and subsequently test messaging strategies
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tools and “big data” approaches with a special focus on Bayesian analysis Designing, conducting, and interpreting statistical analysis, including analysis of cohort, cross-sectional and clinical studies
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and statistical modelling approaches to extract meaningful patterns and predictive biomarkers from large-scale omics datasets. Contribute to the design and execution of research projects, including
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Luminescence Data AnalYses”. After a brief training period, you will lead the development of ‘Luminescence’ and the to-be-designed REPLAY system. You will closely work with our partners at the Justus-Liebig
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teaching, the candidate is also expected to contribute to the design and further development of teaching in ophthalmology as part of the MaReCuM model study program. Prerequisites for application are a
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a comprehensive dataset of policies that will then be coded and analysed to identify the strengths and gaps of existing/ upcoming EU policies on sustainable claims, labels and policies designed
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of further extension) Contract:TV-L Your Tasks Work with a Xenograft mouse model Design, perform and coordinate in vivo and in vitro experiments at major independence Guide PhD students and technicians
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with a Xenograft mouse model Design, perform and coordinate in vivo and in vitro experiments at major independence Guide PhD students and technicians Evaluate scientific literature, write grant
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About the Innovation Campus of the Heidelberg Mannheim Health and Life Science Alliance: Health + Life Science Alliance Heidelberg Mannheim strives to promote research and innovation through synergy
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collaboratively within a team A willingness to design and build novel experimental setups An interest in the fields of microfluidics, 3D cell culture and organ-on-a-chip Some interest in programming with Python